The AI scaling gap hiding in digital native companies

Summary

An Economist survey of 1,220+ executives across eight industries finds that digital native companies lead in ambition and breadth of AI deployment, but not in full operational maturity. At 18%, they are the most likely group to prioritize embedding AI across core processes at scale, and nearly 92% report AI ROI ahead of plan. Yet they lead fully embedded AI—defined as use by 100+ users, SLAs, and performance and impact monitoring—in only one of eight functions, R&D/product development; they rank seventh in finance and sixth in operations and supply chain. Telecom, media and entertainment, manufacturing, and energy outperform them in selected functions despite lower stated scaling priority. The proposed response is to build shared, production-grade foundations for data, governance, workloads, models, agents, and applications, with security, lineage, monitoring, and performance measurement treated as reusable capabilities.

Context

The survey distinguishes broad AI deployment from full operational embedding. Digital native companies have strong AI ambitions, broad adoption, and positive ROI, but often lack the shared foundations needed to make AI reusable, monitored, governed, and trusted across business-critical workflows.

Approach / What changed

Build a shared AI operating foundation in which data pipelines, governance, AI workloads, models, agents, and applications operate together. Treat security, lineage, monitoring, performance measurement, and related controls as reusable capabilities across business functions rather than rebuilding them for individual initiatives.

Takeaways

• Digital native executives make embedding AI across core business processes at scale their top investment priority at a rate of 18%, versus a 9.8% cross-industry average.
• Fully embedded AI requires use by 100+ users, service-level agreements, and monitoring for performance and impact; digital natives lead on this measure in only R&D/product development.
• Telecom leads digital natives in fully embedded AI across five of eight measured functions despite naming AI scaling a top priority at only 7.9% versus 18.0% for digital natives.

Related reading